Inactive
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NVIDIA

Designs the chips and software that power AI

Research Scientist New Grad - AI Accelerator Design and VLSI

AI ResearchPosted on May 9
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
  • VLSI Implementation Skills: Experience in hardware design with proficiency with modern EDA tool flows
  • Programming & Systems Skills: Proficiency in at least two of Python, PyTorch, C++, SystemVerilog, or CUDA
  • Publications in top circuit, architecture, and/or AI/ML venues
  • Domain & Technical Expertise: PhD research experience in either VLSI (e.g., digital VLSI circuits and chip design methodologies), computer architecture, and/or numerical algorithms for AI model hardware/software co-design
  • Excellent self-motivation, creativity, passion for research, collaboration skills and ability to work effectively within a research team
  • Excellent written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts

Responsibilities

  • AI Accelerator Hardware: Contribute to novel research advancing the state-of-the-art in AI accelerator design
  • VLSI: Research creative and innovative ASIC and VLSI design techniques and/or novel digital VLSI circuits. Apply machine learning, generative AI, and innovative tools and methodologies to automated ASIC and VLSI design tool flows
  • AI HW/SW Co-Design: Research and develop creative and innovative numerical methods for quantization, sparsity, or tensor decomposition grounded in computer arithmetic fundamentals and digital VLSI circuits
  • Collaborate on the development of research prototype testchips
  • Collaborate with AI researchers and hardware team members in research and product teams
  • Publish and present your original research, speak at conferences and events

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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